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About Introduction
This document provides information about an introduction to deep learning course. It outlines the course details including the instructor, teaching assistants, materials, evaluation criteria, prerequisites, goals, and an overview of deep learning and machine learning methods. The course aims to review principles of deep networks, introduce popular networks and training issues, and develop skill in designing architectures for applications. Deep learning is able to learn representations of data with multiple levels of abstraction and has improved state-of-the-art in many domains by learning features instead of relying on hand-designed features.
Detailed Information
| Author: | ['ali'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 41 |
| Language: | English |
| Format: | |
| Price: | FREE |
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